FPGA-Oriented Real-Time EMD-Based Breath Signal Processing System on ARM11 MPCore Platform

Tsung Che Lu, Chien Liang Lin, Pei Y. Chen, Lan-Da Van

研究成果: Conference contribution同行評審

摘要

In this paper, a complete FPGA-oriented real-time empirical mode decomposition (EMD)-based breath signal processing system on ARM11 MPCore platform is developed. The system consists of three subsystems including biomedical signal acquisition, FPGA-oriented EMD accelerator and EMD processing result display. In this work, the previous published multiple stopping criteria and high IMFs Application Specific Integrated Circuit (ASIC)-oriented EMD accelerator is deployed to FPGA of ARM 11 MPCore platform such that the computation time of the overall system can be reduced. An external SRAM architecture in ARM 11 MPCore platform is adopted to process a large amount of data. The three subsystems are connected by a high speed internet such that real time data transportation is achieved. From the evaluation results, for 10K data size, the FPGA-oriented EMD accelerator can speed up by 29.21 times, 20.20 times, and 15.47 times compared with ARM11 processor running single core, dual cores, and four cores, respectively.

原文English
主出版物標題2018 IEEE 23rd International Conference on Digital Signal Processing, DSP 2018
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781538668115
DOIs
出版狀態Published - 31 一月 2019
事件23rd IEEE International Conference on Digital Signal Processing, DSP 2018 - Shanghai, China
持續時間: 19 十一月 201821 十一月 2018

出版系列

名字International Conference on Digital Signal Processing, DSP
2018-November

Conference

Conference23rd IEEE International Conference on Digital Signal Processing, DSP 2018
國家China
城市Shanghai
期間19/11/1821/11/18

指紋 深入研究「FPGA-Oriented Real-Time EMD-Based Breath Signal Processing System on ARM11 MPCore Platform」主題。共同形成了獨特的指紋。

引用此